Pygmalios integrated platform analyzes and predicts customer in-store behavior based on AI-driven technology and solutions for the physical world.
Benchmark your stores, monitor the true conversion rate within your sales funnel, optimize shift planning and opening hours or evaluate store location potential and marketing campaigns performance.
Analyze and forecast customer footfall patterns, outside traffic potential, buying units size trends, basic customer profile, and more. All tracked and analyzed in real-time.
It only takes one AI-powered stereoscopic sensor placed at the store’s entrance and our live BI dashboard to fully realize the potential of Traffic Analytics.
Manage checkout or other service areas based on real-time traffic data to create a pleasant ending to the whole customer shopping experience; optimize your floor-staff allocation based on an actual service need.
Real-time queuing behavior prediction coupled with real-time alerts and custom notifications to open additional service areas or checkouts to meet demand.
State-of-art movement tracking sensors coupled with AI-driven predictive algorithms are deployed to learn and accurately predict queue formation in advance.
Keep everybody in your store safe and stay compliant with distancing rules. Occupancy management automatically informs you about the actual occupancy levels and alerts your customers anytime your store’s occupancy has reached a critical threshold.
Real-time occupancy analysis to enforce social distancing regulations and real-time occupancy predictions to match employee schedules with changing customer demand.
With the help of just one stereoscopic movement tracking sensor powered by AI, the real-time customer occupancy view for enterprise retail is available to you through our live dashboard or via smart TV integration.
Understand how your customers navigate and use the store, A/B test your store layouts, adjust in-store navigation, identify cold zones and the overall hidden potential of your store.
Analyze browsing and service times, typical shopping paths, category progression customer funnel, or dwell time-based heatmaps.
We utilize state-of-art movement tracking sensors with a rich AI-powered analytics interface built on top to accurately collect and interpret the data from your store.
Track the performance of your checkouts or service zones, discover queuing patterns by identifying both peak hours and potential bottlenecks and find out how queues influence the whole dynamics of your store.
Monitor the average and maximum queue size as well as the typical and average queue time either in real-time or in user-friendly reports based on 5-minute granularity data.
Movement tracking sensors are deployed above the checkout lanes to accurately track customer behavior.
Get insights into how customers interact with a particular category zone or product display within your store and learn about how your merchandising and other factors influence category performance.
Zone-relevant metrics include zone visits, zone passing-bys, zone dwell time, and the overall zone capture rate. Product displays tracking measures the number of views and view durations to rate the performance.
We utilize state-of-art movement tracking sensors with a rich AI-powered analytics interface built on top to accurately collect and interpret the data from your store.
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